denironyx Goto Github PK

air-pollution-dispersion

Application of Aermod for short term air quality dispersion prediction

anyflights

An R package to generate `nycflights13`-like air travel data🛩️

articles

contributing to some packages articles

backup-start-up

becoming_data_engineer

bouncechallenge

Bounce Challenge

caflights

An R data package containing all out-bound flights from CA in 2015 calendar year + useful metadata

caflights15

A shiny project containing all out-bound flights from california in 2015 + useful metdata

carbonara

cran2graph

a repo of package dependencies using graph data structure and theory

data-warehouse-systems

databases

Databases integration

devdjango

devpython

A python development projects

devshinyr

This is a repo of shiny projects, the project takes into consideration software development practices. - https://devshinyrs-siawq5rqpq-uc.a.run.app/

docker-airflow

Docker Apache Airflow

docker-airflow-tutorial

Docker and Apache airflow tutorial

flight-prediction

Building a flight prediction model. This model must predict whether a flight would arrive 15+ minutes after the scheduled arrival time with 70+%."

geoapi

geospatial api and examples

geocoding

Look up street addresses, IP addresses, and geographic coordinates in python, golang, ruby and R

geodev

OpenStreetMap Data Extraction, Database Design, Querying and Analyzing with SQL and python.

geospatial-mapping

graphcraft

A learning resource for graph algorithm, analytics, and graph database

hands_on-datascience

journey-to-data-roadmap

This repo serves as a journal that helps me document my growth process as Data Analyst to become a data engineer and architect.

kabobs

keplergl-demo

Kepler.gl is an open-source tool for geospatial analysis. It is built to easily integrate into projects via a React component. Being a general purpose geospatial analysis tool, Kepler.gl opens the door for analysis of large datasets.

learn_dbt_project

learndatamining

Discover the art of data mining with this comprehensive learning resources offering step-by-step tutorials and practical insights on predictive and descriptive techniques, empowering learners to unlock valuable insights from their data

mobility-analytics